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[CourseClub.NET] Coursera - Deep Learning in Computer Vision
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[CourseClub.NET] Coursera - Deep Learning in Computer Vision
磁力链接/BT种子简介
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5c0654d1d7910379fa392cbbc41fe5904f64f615
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2018-09-15
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2024-12-02
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文件列表
001.Introduction and digital images/001. Short introduction to computer vision.mp4
16.1 MB
001.Introduction and digital images/001. Short introduction to computer vision.srt
7.3 kB
001.Introduction and digital images/002. Digital images.mp4
12.8 MB
001.Introduction and digital images/002. Digital images.srt
5.2 kB
001.Introduction and digital images/003. Structure of human eye and vision.mp4
23.3 MB
001.Introduction and digital images/003. Structure of human eye and vision.srt
8.6 kB
001.Introduction and digital images/004. Color models.mp4
60.5 MB
001.Introduction and digital images/004. Color models.srt
22.0 kB
002.Basic image processing/005. Image processing goals and tasks.mp4
11.3 MB
002.Basic image processing/005. Image processing goals and tasks.srt
3.7 kB
002.Basic image processing/006. Contrast and brightness correction.mp4
20.6 MB
002.Basic image processing/006. Contrast and brightness correction.srt
7.1 kB
002.Basic image processing/007. Image convolution.mp4
27.3 MB
002.Basic image processing/007. Image convolution.srt
9.8 kB
002.Basic image processing/008. Edge detection.mp4
33.4 MB
002.Basic image processing/008. Edge detection.srt
12.0 kB
003.Image classification/009. Recap Image classification.mp4
34.0 MB
003.Image classification/009. Recap Image classification.srt
11.1 kB
003.Image classification/010. AlexNet, VGG and Inception architectures.mp4
46.0 MB
003.Image classification/010. AlexNet, VGG and Inception architectures.srt
14.5 kB
003.Image classification/011. ResNet and beyond.mp4
45.3 MB
003.Image classification/011. ResNet and beyond.srt
12.6 kB
003.Image classification/012. Fine-grained image recognition.mp4
26.6 MB
003.Image classification/012. Fine-grained image recognition.srt
7.6 kB
003.Image classification/013. Detection and classification of facial attributes.mp4
25.3 MB
003.Image classification/013. Detection and classification of facial attributes.srt
8.3 kB
004.Content-based image retrieval/014. Content-based image retrieval.mp4
33.1 MB
004.Content-based image retrieval/014. Content-based image retrieval.srt
9.5 kB
004.Content-based image retrieval/015. Computing semantic image embeddings using convolutional neural networks.mp4
37.3 MB
004.Content-based image retrieval/015. Computing semantic image embeddings using convolutional neural networks.srt
11.3 kB
004.Content-based image retrieval/016. Employing indexing structures for efficient retrieval of semantic neighbors.mp4
39.1 MB
004.Content-based image retrieval/016. Employing indexing structures for efficient retrieval of semantic neighbors.srt
11.9 kB
004.Content-based image retrieval/017. Face verification.mp4
26.4 MB
004.Content-based image retrieval/017. Face verification.srt
8.1 kB
004.Content-based image retrieval/018. The re-identification problem in computer vision.mp4
22.1 MB
004.Content-based image retrieval/018. The re-identification problem in computer vision.srt
7.0 kB
005.Keypoints regression/019. Facial keypoints regression.mp4
26.8 MB
005.Keypoints regression/019. Facial keypoints regression.srt
7.7 kB
005.Keypoints regression/020. CNN for keypoints regression.mp4
24.4 MB
005.Keypoints regression/020. CNN for keypoints regression.srt
7.3 kB
006.Sliding window detectors/021. Object detection problem.mp4
23.5 MB
006.Sliding window detectors/021. Object detection problem.srt
10.0 kB
006.Sliding window detectors/022. Sliding windows.mp4
12.3 MB
006.Sliding window detectors/022. Sliding windows.srt
4.8 kB
006.Sliding window detectors/023. HOG-based detector.mp4
9.6 MB
006.Sliding window detectors/023. HOG-based detector.srt
3.5 kB
006.Sliding window detectors/024. Detector training.mp4
12.3 MB
006.Sliding window detectors/024. Detector training.srt
4.5 kB
006.Sliding window detectors/025. Viola-Jones face detector.mp4
20.4 MB
006.Sliding window detectors/025. Viola-Jones face detector.srt
8.1 kB
006.Sliding window detectors/026. Attentional cascades and neural networks.mp4
12.8 MB
006.Sliding window detectors/026. Attentional cascades and neural networks.srt
4.9 kB
007.Modern detector architectures/027. Region-based convolutional neural network.mp4
11.2 MB
007.Modern detector architectures/027. Region-based convolutional neural network.srt
4.5 kB
007.Modern detector architectures/028. From R-CNN to Fast R-CNN.mp4
18.7 MB
007.Modern detector architectures/028. From R-CNN to Fast R-CNN.srt
7.1 kB
007.Modern detector architectures/029. Faster R-CNN.mp4
16.5 MB
007.Modern detector architectures/029. Faster R-CNN.srt
5.8 kB
007.Modern detector architectures/030. Region-based fully-convolutional network.mp4
8.9 MB
007.Modern detector architectures/030. Region-based fully-convolutional network.srt
3.2 kB
007.Modern detector architectures/031. Single shot detectors.mp4
15.2 MB
007.Modern detector architectures/031. Single shot detectors.srt
2.6 kB
007.Modern detector architectures/032. Speed vs. accuracy tradeoff.mp4
7.4 MB
007.Modern detector architectures/032. Speed vs. accuracy tradeoff.srt
2.6 kB
007.Modern detector architectures/033. Fun with pedestrian detectors.mp4
6.1 MB
007.Modern detector architectures/033. Fun with pedestrian detectors.srt
1.6 kB
008.Object tracking/034. Introduction to video analysis.mp4
13.3 MB
008.Object tracking/034. Introduction to video analysis.srt
5.3 kB
008.Object tracking/035. Optical flow.mp4
18.2 MB
008.Object tracking/035. Optical flow.srt
8.0 kB
008.Object tracking/036. Deep learning in optical flow estimation.mp4
19.9 MB
008.Object tracking/036. Deep learning in optical flow estimation.srt
8.8 kB
008.Object tracking/037. Visual object tracking.mp4
19.7 MB
008.Object tracking/037. Visual object tracking.srt
8.2 kB
008.Object tracking/038. Examples of visual object tracking methods.mp4
45.0 MB
008.Object tracking/038. Examples of visual object tracking methods.srt
21.3 kB
008.Object tracking/039. Multiple object tracking.mp4
19.0 MB
008.Object tracking/039. Multiple object tracking.srt
8.3 kB
008.Object tracking/040. Examples of multiple object tracking methods.mp4
27.6 MB
008.Object tracking/040. Examples of multiple object tracking methods.srt
12.3 kB
009.Action recognition/041. Introduction to action recognition.mp4
23.0 MB
009.Action recognition/041. Introduction to action recognition.srt
9.5 kB
009.Action recognition/042. Action classification.mp4
27.9 MB
009.Action recognition/042. Action classification.srt
12.2 kB
009.Action recognition/043. Action classification with convolutional neural networks.mp4
19.7 MB
009.Action recognition/043. Action classification with convolutional neural networks.srt
8.4 kB
009.Action recognition/044. Action localization.mp4
23.5 MB
009.Action recognition/044. Action localization.srt
10.3 kB
010.Image segmentation/045. Image segmentation.mp4
16.8 MB
010.Image segmentation/045. Image segmentation.srt
4.9 kB
010.Image segmentation/046. Oversegmentation.mp4
18.7 MB
010.Image segmentation/046. Oversegmentation.srt
5.5 kB
010.Image segmentation/047. Deep learning models for image segmentation.mp4
34.3 MB
010.Image segmentation/047. Deep learning models for image segmentation.srt
10.3 kB
010.Image segmentation/048. Human pose estimation as image segmentation.mp4
35.0 MB
010.Image segmentation/048. Human pose estimation as image segmentation.srt
11.1 kB
011.Style transfer and image generation/049. Style transfer.mp4
23.8 MB
011.Style transfer and image generation/049. Style transfer.srt
6.8 kB
011.Style transfer and image generation/050. Generative adversarial networks.mp4
30.9 MB
011.Style transfer and image generation/050. Generative adversarial networks.srt
10.1 kB
011.Style transfer and image generation/051. Image transformation with neural networks.mp4
23.8 MB
011.Style transfer and image generation/051. Image transformation with neural networks.srt
5.8 kB
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